Andrea Garzelli

Full Professor

Università degli Studi di Siena

Italy

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About

Andrea Garzelli is a Full Professor at the Università degli Studi di Siena, Italy. His research focuses on areas such as image fusion, hypersharpening techniques, and the enhancement of spatial resolution in satellite imagery. Recent publications include investigations into the harmonization of multispectral images, downscaling land surface temperature data, and analyzing the bio-stimulatory effects of wood distillate on crops.

Articles (20)

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2025

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2020

Collaborators (9)

Wenzhi Liao

Ghent University

BELGIUM

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Claudia Zoppetti

University of Siena

ITALY

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Pablo Carril

Università degli Studi di Siena

ITALY

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Alessandro Lapini

Istituto di fisica applicata Nello Carrara Consiglio Nazionale delle Ricerche

ITALY

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Giacomo Fontanelli

Istituto di fisica applicata Nello Carrara Consiglio Nazionale delle Ricerche

ITALY

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Simone Lolli

Adjunct Professor

Kent State University

UNITED STATES

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Stefano Loppi

Associet Professor of Environmental and Applied Botany

University of Siena

ITALY

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Rocco Restaino

Assistant Professor

University of Salerno

ITALY

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Riccardo Salvini

Associate Professor

Università degli Studi di Siena

ITALY

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Andrea Garzelli

Research Interests

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Articles (20)

Enhancing Spatial Resolution of Sentinel-2 Next Generation Imagery via Image Fusion

Full-Scale Regression Modeling of Spatial Details for Single-/Multi-Platform Hypersharpening

Harmonization of Multispectral and Panchromatic Images From VHR/EHR Spaceborne Scanners

Multispectral, Thermographic and Spectroradiometric Analyses Unravel Bio-Stimulatory Effects of Wood Distillate in Field-Grown Chickpea (<i>Cicer arietinum</i> L.)

Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis

Downscaling Land Surface Temperature via Assimilation of LandSat 8/9 OLI and TIRS Data and Hypersharpening

Automatic Fine Co-Registration of Datasets from Extremely High Resolution Satellite Multispectral Scanners by Means of Injection of Residues of Multivariate Regression

Characterizing Dust and Biomass Burning Events from Sentinel-2 Imagery

Spatial Resolution Enhancement of Vegetation Indexes via Fusion of Hyperspectral and Multispectral Satellite Data

Generation of synthetic generative adversarial network-based multispectral satellite images with improved sharpness

Fusion of VNIR Optical and C-Band Polarimetric SAR Satellite Data for Accurate Detection of Temporal Changes in Vegetated Areas

Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge

Advantages of Nonlinear Intensity Components for Contrast-Based Multispectral Pansharpening

A dark target Kalman filter algorithm for aerosol property retrievals in urban environment using multispectral images

Full-Resolution Quality Assessment of Pansharpening: Theoretical and hands-on approaches

A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods

Reproducibility of Pansharpening Methods and Quality Indexes versus Data Formats

A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment

A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment

Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas

Collaborators (9)

Wenzhi Liao

Claudia Zoppetti

Pablo Carril

Alessandro Lapini

Giacomo Fontanelli

Simone Lolli

Stefano Loppi

Rocco Restaino

Riccardo Salvini

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